metrics-adjuster is a GPL-3.0 Python package for calculating adjusted, group-aware clinical prediction metrics. It provides both a Python API and command-line interface for researchers and developers evaluating clinical machine learning models.
In the Other data science & ML space, metrics-adjuster takes a focused approach. It focuses on evaluating clinical prediction models fairly across demographic or other groups. metrics-adjuster is an open-source project aimed at clinical machine learning researchers and developers. It ships for the command line and API, and it can be self-hosted.
Saehwan Park builds and maintains metrics-adjuster, and it first shipped in 2026. The project is developed in the open on GitHub with 9 commits in the last 90 days. Key capabilities include group-aware metrics, clinical prediction metrics, and Python API.
Summary written by a language model from the project’s public pages.
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